Triple
T5475667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stand by Me |
E122945
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Corey Feldman |
E385673
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Corey Feldman | Statement: [Stand by Me, leadActor, Corey Feldman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corey Feldman Context triple: [Stand by Me, leadActor, Corey Feldman]
-
A.
Corey Feldman
chosen
Corey Feldman is an American actor and former child star best known for his roles in 1980s films such as "The Goonies," "Stand by Me," and "The Lost Boys."
-
B.
Gary Coleman
Gary Coleman was an American child actor best known for his iconic role as Arnold Jackson on the sitcom "Diff'rent Strokes."
-
C.
Scott Baio
Scott Baio is an American actor best known for his roles on the television series "Happy Days," "Joanie Loves Chachi," and "Charles in Charge."
-
D.
Skeet Ulrich
Skeet Ulrich is an American actor best known for his roles in films like "Scream" and "The Craft" and the television series "Jericho."
-
E.
Anthony Michael Hall
Anthony Michael Hall is an American actor best known for his roles in 1980s John Hughes films like "The Breakfast Club" and "Sixteen Candles," as well as later television and film work.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd923465c88190ad9c1b75b268f7ca |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf489a8f9881908aec81e59ed1e3e4 |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:09 p.m.